Amazon RDS vs Google Cloud SQL comparison

Why PeerSpot?

Amazon Web Services (AWS) and Google are both solutions in the Database as a Service (DBaaS) category. Amazon Web Services (AWS) is ranked #2 with an average rating of 8.4, while Google is ranked #6 with an average rating of 7.4. Amazon Web Services (AWS) holds a 12.6% mindshare in DS, compared to Google’s 6.4% mindshare. Additionally, 98% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 100% of Google users who would recommend it.

Amazon RDS

Read 59 Amazon RDS reviews

9,308 Views
7,912 Comparison Views

98% willing to recommend

Google Cloud SQL

Read 24 Google Cloud SQL reviews

4,786 Views
3,637 Comparison Views

100% willing to recommend

Amazon RDS

Google Cloud SQL

Comparison Buyer's Guide

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Executive SummaryUpdated on Jun 3, 2026

Amazon RDS and Google Cloud SQL are popular managed database services competing in the cloud database category. Amazon RDS appears to have the upper hand in cost-efficiency and supports more database engines, while Google Cloud SQL is noted for its integration and initial affordability.

Features: Amazon RDS provides a fully managed database environment with support for multiple engines like MySQL, Oracle, and PostgreSQL, automated administrative tasks, and strong encryption via KMS. Google Cloud SQL offers high availability options, integration with other Google Cloud services, and a flexible, scalable environment for SQL workloads.

Room for Improvement: Amazon RDS could enhance feature availability, improve Microsoft product integration, and provide clearer pricing and more accessible support. Google Cloud SQL needs better documentation and support for complex operations, enhanced integration capabilities, and improved AI functionalities in query analytics.

Ease of Deployment and Customer Service: Both Amazon RDS and Google Cloud SQL support public cloud deployments, with Amazon RDS also supporting hybrid setups. Customer service is adequate for both, though users desire more responsive support at premium tiers, with Amazon's segmented support response depending on service level agreements.

Pricing and ROI: Amazon RDS offers significant ROI through cost optimization and reduced database management needs, making it cost-effective despite potential pricing transparency issues. Google Cloud SQL is affordable, particularly with its community-source licensing, and both platforms show strong ROI across various scenarios.

To learn more, read our detailed Amazon RDS vs. Google Cloud SQL Report (Updated: November 2026).

Buyer's Guide

Amazon RDS vs. Google Cloud SQL

November 2026

Download the complete report

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Amazon RDS

Ranking in Database as a Service (DBaaS)

2nd

Ranking in Relational Databases Tools

17th

Average Rating

8.4

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

No ranking in other categories

Google Cloud SQL

Ranking in Database as a Service (DBaaS)

6th

Ranking in Relational Databases Tools

23rd

Average Rating

8.2

Reviews Sentiment

6.2

Number of Reviews

Ranking in other categories

Database Management Systems (DBMS) (11th)

Mindshare comparison

As of November 2026, in the Database as a Service (DBaaS) category, the mindshare of Amazon RDS is 12.6%, down from 17.5% compared to the previous year. The mindshare of Google Cloud SQL is 6.4%, down from 9.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Database as a Service (DBaaS) Mindshare Distribution
Product	Mindshare (%)
Amazon RDS	12.6%
Google Cloud SQL	6.4%
Other	81.0%

Database as a Service (DBaaS)

Featured Reviews

Donny Trijatmiko

Dev Ops Engineer at MyRobin.ID

Managed databases have simplified recovery and high availability for AI recruitment workloads

The features of Amazon RDS that I have found most valuable and useful so far are its fully managed service, point-in-time restore, and other serverless features such as snapshots and backups, which have eased my job to manage databases. The automated backups of Amazon RDS help in data recovery by mitigating disaster recovery. I can revert to the nearest time if there is any data corruption or other issues, and this helps tremendously. I assess Amazon RDS's read replica feature for improving application performance as good. For standby nodes in Amazon RDS, I am using them for high failover, and so far it has been performing well. I have used Amazon RDS's Multi-AZ deployments, and it helps enhance data availability by providing high failover. It enhances high availability for my application as well.

Read full review

RituRaj

SDE 2 at Virtusa

Drag and drop workflows have simplified data mapping and currently improve my cloud database work

The IPaaS Connector, which I have found most valuable, is part of Google Cloud SQL. Google Cloud's user interface is really good, which improves efficiency in my database operations. The UI is excellent, making it easier to understand what we are doing. Currently, I am working on IPaaS Connector, so it is really just a clickable interface without writing any code. I simply use drag and drop and connecting lines, and it is working. Google Cloud SQL's global infrastructure improves our database's latency metrics because we are using Gemini in our project. Since both are products of Google, it makes our product faster.

Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"The features of Amazon RDS that I have found most valuable and useful so far are its fully managed service, point-in-time restore, and other serverless features such as snapshots and backups, which have eased my job to manage databases."

"The most valuable features of Amazon RDS are its scalability, reliability, and intelligence."

"Amazon RDS is quite a well-managed and stable service...The initial setup was very easy."

"The product's initial setup phase is totally easy."

"The solution’s scalability, usability, and availability are valuable to us."

"Amazon RDS makes it easier for me to manage databases compared to traditional databases like MongoDB or local host servers."

"The Amazon RDS features I found most valuable are snapshots and automatic backups."

"Amazon RDS is good for backups, auto-scanning, and disaster recovery. It's also appropriate for the office server."

More Amazon RDS pros

"It supports different databases, like Postgres and MySQL."

"Google Cloud SQL is very easy to use and easy to set up; it brings the benefits of being simple to perform queries, store data that I needed to store, and extract data when I needed to extract it quite quickly, without having to set up a full database and queries around it."

"Google Cloud SQL is easy to start with and allows me to scale as needed, which is advantageous from a developer perspective."

"It directly provides robust data safety. It also offers various other storage options, such as Google Cloud Storage. These services ensure data security and redundancy. Furthermore, it includes different storage classes, allowing flexible data management tailored to specific needs."

"My suggestion to anyone thinking about this solution is to jump into it head-first!"

"Its most valuable feature is that it's scalable; I can start off with a base of a lot of data and move as much as I want without a lot of infrastructure changes, so I can run a release model experiment on a thousand people and, if that experiment is a success, run it on a million people without any changes while keeping it much more cost-sensitive for me to do it."

"Licensing is not applicable; pricing is reasonable."

"The speed is very good, it's useful in terms of the simplicity of doing backups, you can have redundant databases for reports or posts, it's SQL which is easy to learn if you know something about databases, I like the cloud aspect, the pricing of the solution seems reasonable, and the solution is stable."

More Google Cloud SQL pros

Cons

"The security features could be improved."

"The backup and restore processes take more time compared to other providers. For instance, if DigitalOcean takes two minutes to restore or create a backup, AWS will take 2 to 3 minutes."

"The solution's version upgrade and performance could be improved."

"One notable improvement that could enhance the database management experience, particularly during migration scenarios, is the accessibility of the root user."

"The support team of Amazon RDS provides us with some links to go through whenever we face some issues, but it doesn't work for us."

"The product's high price is an area of concern where improvements are required."

"When we depend on the AWS technical team, we need to pay more. For tech support, they are charging about 25% of the actual bill, which is too high for me."

"In the next release, it would be great to see RDS provide connection pooling out of the box."

More Amazon RDS cons

"The only room for improvement here is that they need to connect to more existing data sources so that it becomes easier for a layman to get a more realistic understanding of what's happening."

"To create a seamless data integration, the title integration of these databases with the data integration platforms is essential. This is what we would like to have in a future release."

"The performance compared to AWS is not as fast, and the technical support could be better as they don't have a dedicated team, but mostly AI handles the support now."

"Google's technical support is good, but they tend to never reopen a case and to send us snippets from the publicly available documentation. It's not as helpful as you would expect, not just for Google Cloud SQL but for all of Google Cloud products."

"I would appreciate more flexibility with specific extensions applicable to engines like PostgreSQL. This would enhance the capabilities of Google Cloud SQL."

"Sometimes the sharing with third parties or configuring that in Google Cloud SQL is not the most intuitive."

"They could improve documentation and dashboard stability for efficient user experience and database management."

"Google Cloud SQL needs to improve its support for high-end I/O operations. On-prem systems with high I/O capabilities perform better, as Google Cloud SQL takes more time to handle the same tasks."

More Google Cloud SQL cons

Pricing and Cost Advice

"The cost of using this solution is similar to that of having your own data center."

"Amazon RDS is cheaper compared to other tools."

"The cost depends on the kind of instance we use."

"By using a combination of Reserve Instances and On-Demand pricing, you can reduce the cost."

"The solution is expensive."

"On a scale from one to ten, where ten is the most expensive, and one is the cheapest, I rate the solution's pricing a seven out of ten."

"Licensing fees are paid on an annual basis."

"The solution's pricing needs improvement."

More Amazon RDS pricing and cost advice

"From a financial perspective, Google Cloud SQL is on the cheaper side."

"The solution is affordable."

"It is not expensive, especially considering the significant reduction in database management time."

"You need to pay extra costs for backup and replication."

"While the platform’s pricing may be higher, it aligns with industry standards, considering the quality of service and features provided."

"It's really cheap. It wouldn't be more than, I believe it's around 50 euro per month for running a cloud SQL."

"The pricing is very much an important factor as to why we use this solution."

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Top Industries

By visitors reading reviews

Construction Company

10%

Outsourcing Company

10%

Financial Services Firm

University

Educational Organization

13%

Financial Services Firm

12%

Comms Service Provider

11%

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	23
Midsize Enterprise	16
Large Enterprise	24

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	5
Large Enterprise	10

Questions from the Community

What is your experience regarding pricing and costs for Amazon RDS?

The pricing for Amazon RDS is reasonable.

See all answers

What needs improvement with Amazon RDS?

I think Amazon RDS can be improved or enhanced if it can be implemented with other monitoring tools such as Percona. Currently, I am trying to add Percona monitoring for monitoring in addition to i...

See all answers

What is your primary use case for Amazon RDS?

Amazon RDS is typically used for AI applications. I am developing it for an AI recruitment agent and for collecting data for HRIS, Software as a Service for a workforce as a service, and storing data.

See all answers

What is your experience regarding pricing and costs for Google Cloud SQL?

We have set up automated patch management for Google Cloud SQL, and it does on a daily basis what needs to be done, so it is pretty good overall for maintaining our database security.

See all answers

What needs improvement with Google Cloud SQL?

I would to improve a few glitches in Google Cloud SQL that I have recently noticed. There are a few UI glitches that I have noticed recently, specifically something called data mapping in IPaaS Con...

See all answers

What is your primary use case for Google Cloud SQL?

I am not working with Oracle; everything I am working on is on Google. I would like to improve a few glitches in Google Cloud SQL that I have recently noticed. There are a few UI glitches that I ha...

See all answers

Comparisons

MongoDB Atlas vs Amazon RDS

Compared 10% of the time

Microsoft Azure SQL Database vs Amazon RDS

Compared 7% of the time

Oracle Database as a Service vs Amazon RDS

Compared 6% of the time

Google Cloud Spanner vs Amazon RDS

Compared 6% of the time

YugabyteDB vs Amazon RDS

Compared 5% of the time

More Amazon RDS Competitors

MongoDB Atlas vs Google Cloud SQL

Compared 12% of the time

Microsoft Azure SQL Database vs Google Cloud SQL

Compared 12% of the time

Google Cloud Spanner vs Google Cloud SQL

Compared 7% of the time

Amazon Aurora vs Google Cloud SQL

Compared 7% of the time

EDB Ark vs Google Cloud SQL

Compared 5% of the time

More Google Cloud SQL Competitors

Product Reports

Buyer's Guide

Amazon RDS

November 2026

Download Amazon RDS product report

Buyer's Guide

Google Cloud SQL

October 2026

Download Google Cloud SQL product report

Also Known As

RDS

No data available

Overview

Amazon RDS offers scalability, high availability, and security. It supports multiple database engines and facilitates automated backups and data encryption, with a focus on user-friendly features.

Amazon RDS is a managed database service supporting engines like MySQL and PostgreSQL. It enhances resilience through Multi-AZ deployments and integrates with tools like CloudWatch for monitoring and cost management. Users appreciate its ease of use, performance insights, and the reduction in administrative tasks which enable them to concentrate on business objectives. However, some users find interface complexity and administrative privilege needs challenging, along with migration difficulties.

What are the key features of Amazon RDS?

Scalability: Supports storage and read replicas to handle growing data needs.
High Availability: Multi-AZ deployments ensure database resilience.
Security: Features such as data encryption and automated backups protect data.

What benefits should users expect?

Streamlined Administration: Reduces time spent on database management.
Improved Performance: Access to performance insights for optimization.
Cost Efficiency: Monitoring tools help manage and reduce costs.

In industries like web development, fintech, and e-commerce, Amazon RDS is utilized to optimize database handling, ensure high availability, and facilitate secure data transactions. Organizations often use AWS migration tools to transition from on-premises infrastructures to cloud environments, benefiting from managed services to focus on enhancement rather than maintenance.

Amazon Web Services (AWS)

Google Cloud SQL provides a fully managed database service underscoring ease of use, scalability, and integration with Google Cloud Platform services.

This platform facilitates database operations from automated backups to high availability, supporting databases like Postgres and MySQL. Its intuitive design eases management, while robust features like multi-region support and automatic scaling cater to developers seeking efficient infrastructure management without the burden of extensive backend tasks. Users from industries requiring scalable applications find it especially useful for its seamless integration with development projects and minimal maintenance demands, enabling a focus on innovative application development.

What are the standout features of Google Cloud SQL?

Automated Backups: Ensures data safety by automatically backing up databases.
Read Replicas: Enhances performance and availability with read operations across multiple copies.
Scalability: Provides dynamic scaling to handle workload changes efficiently.
High Availability: Offers reliable uptime with regional failover solutions.
Customization Flexibility: Adapts to specific needs with varied instance configurations.

What benefits should users explore in reviews?

Ease of Management: Simplifies database tasks allowing developers to concentrate on building applications.
Integration: Seamlessly connects with Google Cloud services enhancing operational capabilities.
Global Accessibility: Facilitates access to data from anywhere, supporting international operations.
Cost Efficiency: Reduces costs through its managed services model, reducing infrastructure overhead.

Industries leverage Google Cloud SQL within mobile applications, web frameworks, and marketing analytics. It supports hosting solutions in microservices and private VPC environments extending its use across internal and external infrastructure systems. By simplifying maintenance and migration from on-premises databases, companies achieve reliability and enhance their data management strategies.

Google

Sample Customers

Edmodo

BeDataDriven, CodeFutures, Daffodil, GenieConnect, KiSSFLOW, LiveHive, SulAm_rica, Zync

Buyer's Guide

Amazon RDS vs. Google Cloud SQL

November 2026

Free Report: Amazon RDS vs. Google Cloud SQL

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